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Content Provider | IEEE Xplore Digital Library |
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Author | Modiri, A. Kiasaleh, K. |
Copyright Year | 2011 |
Description | Author affiliation: Department of Electrical Engineering, University of Texas at Dallas, TX, 75080-3021 USA (Modiri, A.) || Faculty of the Department of Electrical Engineering, University of Texas at Dallas (Kiasaleh, K.) |
Abstract | In this paper, particle swarm optimization (PSO) algorithm is used to estimate the permittivities of the tissue layers at microwave frequency band. According to the literature, microwave radiometry (MWR) is potentially a promising cancer detection technique. In addition, breast cancer is an appropriate candidate of MWR due to the breast's exclusive physiology. Several algorithms have been evaluated for analyzing the measurement data and solving the inverse scattering problem in MWR, and different levels of accuracy have been reported. In this paper, the potential of PSO in solving this problem is demonstrated at 1–2.25 GHz. Two distinct algorithms are developed for the two considered scenarios. In the first scenario, we assume no a priori knowledge of the tissue under the test, whereas, in the second scenario, a priori knowledge is assumed. It is noteworthy that, there are only a few research articles studying PSO for permittivity estimation. However, since these studies underestimate the loss encountered by the test samples, the methods are not valid for body tissue case. Here, measurement-based loss coefficients, reported in the existing literature, are included in the calculations. It is shown that the algorithm converges relatively fast, and, distinguishes between different tissues with an acceptable accuracy. |
Starting Page | 1359 |
Ending Page | 1362 |
File Size | 830107 |
Page Count | 4 |
File Format | |
ISBN | 9781424441211 |
ISSN | 1557170X |
e-ISBN | 9781457715891 |
e-ISBN | 9781424441228 |
DOI | 10.1109/IEMBS.2011.6090320 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2011-08-30 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Permittivity Breast tissue Tumors Dielectric constant Breast cancer Antenna Breast Cancer Microwave Tomography |
Content Type | Text |
Resource Type | Article |
Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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